Using data mining algorithms for statistical learning of a software agent

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4496 LNAI, Issue , 2007, Pages 111-120

  Dudek, Damian ^a  

^a The University of Information Technology and Management Copernicus   (Poland)

Author keywords

Association rules; Data mining; Software agent, incremental learning

Indexed keywords

ALGORITHMS; DATA MINING; DATA PROCESSING; INFORMATION SYSTEMS; LEARNING SYSTEMS; STATISTICAL METHODS;

ADAPTIVE BEHAVIOUR; INFORMATION RICH ENVIRONMENTS; STATISTICAL LEARNING;

SOFTWARE AGENTS;

EID: 39649121902     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72830-6_12     Document Type: Conference Paper

References (16)

1. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. Proc. of the Twentieth International Conf. on Very Large Databases, Santiago, Chile (1994)
2. Bacchus, F., Grove, A., Halpern, J., Koller, D.: From statistical knowledge bases to degrees of belief. Artificial Intelligence, Vol. 87, No. 1-2 (1996) 75-143
3. Chen, Z., Lin, F., Liu, H., Liu, Y., Ma, W.-Y., Wenyin, L.: User Intention Modeling in Web Applications Using Data Mining. World Wide Web: Internet and Web Information Systems, Vol. 5 (2002) 181-191
4. Dudek, D., Zgrzywa, A.: The Incremental Method for Discovery of Association Rules. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds.): Proc. of the Fourth International Conf. on Computer Recognition Systems (CORES'05), Advances in Soft Computing, Springer-Verlag, Berlin Heidelberg (2005) 153-160
5. Dudek, D., Kubisz, M., Zgrzywa, A.: APS: Agent's Learning With Imperfect Recall. In: Kwasnicka, H., Paprzycki, M. (eds.): Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications, IEEE Computer Society Press, Washington, Brussels, Tokyo (2005) 172-177
6. Dudek, D.: Knowledge Acquisition Within an Agent System Using Data Mining Methods. PhD Thesis, Technical Report No. 2, Institute of Applied Informatics, Wroclaw University of Technology, Wroclaw (2005) (in Polish)
7. Fagin, R., Halpern, J.Y., Moses, Y., Vardi, M.Y.: Reasoning About Knowledge. MIT Press, Cambridge, MA, USA (1995)
8. Goethals, B.: Implementation of the Apriori Algorithm. University of Helsinki (http://www.adrem.ua.ac.be/~goethals/) (2003)
9. Maes, P.: Modeling Adaptive Autonomous Agents. In: Artificial Life: An Overview. MIT Press, Cambridge, MA, USA (1994) 135-162
10. Maloof, M.A., Michalski, R.S.: Incremental learning with partial instance memory. Artificial Intelligence, Vol. 154 (2004) 95-126
11. Mannila, H.: Methods and problems in data mining. A tutorial. In: Afrati, F., Kolaitis, P. (eds.): Proceedings of the International Conference on Database Theory (ICDT'97), Delphi, Greece (1997) 41-55
12. Ribeiro, C.: Reinforcement Learning Agents. Artif Intel Rev, Vol. 17 (2002) 223-250
13. Sen, S., Weiss, G.: Learning in Multiagent Systems. In: Weiss, G. (ed.): Multiagent systems, The MIT Press (1999) Chapter 6, 259-298
14. Symeonidis, A.L., Mitkas, P.A., Kechagias, D.D.: Mining Patterns And Rules For Improving Agent Intelligence Through An Integrated Multi-Agent Platform. Proceedings of the Sixth IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2002), Banff, Alberta, Canada (2002)
15. Yao, Y.Y., Hamilton, H.J., Wang, X.: PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. In: Alpigini, J.J. et al. (eds.): RSCTC 2002, Lect Notes Artif Int, Vol. 2475, Springer-Verlag, Berlin Heidelberg (2002) 506-513
16. Zhou, Z., Ezeife, C.I.: A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property. In: Stroulia, E., Matwin, S. (eds.): AI 2001, Lect Notes Artif Int, Vol. 2056. Springer-Verlag, Berlin Heidelberg (2001) 26-35